314080 Praktische Übung "Efficient Data Management in Stata" (S) (WiSe 2022/2023)
Short comment
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This course covers the process of efficiently working with STATA from the very beginning, i.e., from getting used to the program and its graphical interface to setting up a real-life (automated) workflow making the data ready for further analysis. Moreover, it will also cover descriptive data analysis as well as several post-estimation topics. The course is hands-on, thus each topic is accompanied by several exercises. At the end of the course, participants should be able to perform a full procedure of data cleaning and preliminary analysis in STATA (including data visualization) efficiently and be ready to take part in the other applied courses.
Prerequisites: some prior knowledge of STATA or other software would be helpful, but is not required.
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Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 31-IndiErg-3 Softwareanwendungen für WirtschaftswissenschaftlerInnen | Softwareanwendungen für Wirtschaftswissenschaftler | Study requirement
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Student information |
| 31-IndiErg-4 Softwareanwendungen für WirtschaftswissenschaftlerInnen II | Softwareanwendungen für Wirtschaftswissenschaftler | Study requirement
|
Student information |
| 31-M-El1 Elective Courses 1 | Gewählte Veranstaltungen aus dem Bereich "Spezialkenntnisse in ökonomischer Theorie und/oder quantitativen Methoden" 2 LP | Study requirement
|
Student information |
| 31-M-El2 Elective Courses 2 | Gewählte Veranstaltungen aus dem Bereich quantitative Methoden 2 LP | Study requirement
|
Student information |
| 31-M-El3 Elective Courses 3 | Gewählte Veranstaltungen aus dem Bereich ökonomischer Theorie 2 LP | Study requirement
|
Student information |
| 31-MM12_a Mikrotheorie und -politik | Praktische Übungen | Study requirement
|
Student information |
| 31-SW-GdS Grundlagen der Statistik | Statistische Software | Study requirement
|
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Economics and Management (BiGSEM) / Promotion | Management; Electives | 5 | |||||
| Economics and Management (BiGSEM) / Promotion | Economics; Electives | 5 | |||||
| Economics and Management (BiGSEM) / Promotion | Finance; Electives | 5 | |||||
| Wirtschaftswissenschaften - Angebote für Erasmus / Incomings (Bachelor) |
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E-Learning Space
A corresponding course offer for this course already exists in the e-learning system. Teaching staff can store materials relating to teaching courses there:
- Registered number: 20
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- Address:
- WS2022_314080@ekvv.uni-bielefeld.de
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- Coverage:
- 19 Students to be reached directly via email
- Notes:
- Additional notes on the electronic mailing lists
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- Last update basic details/teaching staff:
- Friday, October 7, 2022
- Last update times:
- Thursday, October 20, 2022
- Last update rooms:
- Thursday, October 20, 2022
- Type(s) / SWS (hours per week per semester)
- S /
- Language
- This lecture is taught in english
- Department
- Faculty of Business Administration and Economics
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